3 papers
cs.LG2026
Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks
Kangmin Kim, Jaeyoung Song
We consider a federated learning (FL) system in which Industrial Internet-of-Things (IIoT) devices collaboratively train a global model over wireless channels without sharing local…
cs.LG2026
Separate Aggregation of Split Network for Personalized Federated Learning
Yunseok Kang, Jaeyoung Song
Federated learning enables collaborative model training without sharing raw data, but its performance can degrade substantially under heterogeneous client data distributions. A sin…
cs.DC2024
Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel
Jaeyoung Song, Jun-Pyo Hong
In this paper, we consider asynchronous federated learning (FL) over time-division multiple access (TDMA)-based communication networks. Considering TDMA for transmitting local upda…